Work Experience
Python Developer Intern
Zapuza Technology
Created a service details page with integrated invoice listing using Django, consolidating 3+ data sources into a single view, reducing client lookup time by 50%. Implemented real-time push notifications using WebPusher, increasing user engagement by 25% across 100+ active users. Engineered a dynamic due-task filter with 7+ filter criteria using AJAX, enabling 3x faster result retrieval compared to previous manual workflow. Validated the attendance module across 15+ edge-case scenarios, catching 8 critical bugs before production deployment.
Skills
Projects
Automated CI/CD Pipeline for Django App
Built a multistage CI/CD pipeline using a Jenkins master-agent setup on AWS EC2 that automates NPM frontend builds and Python dependency resolution, cutting deployment time by 75%. Automated the deployment of containerized apps using multistage Docker and Docker Compose, while managing .env secrets and image pulls to eliminate configuration errors by 95%. Ran automated Django manage.py tests across remote Jenkins agents and archived frontend build artifacts, supporting 50+ weekly builds while maintaining a consistent 99.9% success rate.
Student Management System
Developed a modular Java Swing + JDBC application to handle campus tasks like student registration and book management, automating paper-based workflows to cut manual labor by 40%. Designed a normalized MySQL database using indexed queries and custom views for 500+ student records, ensuring high data integrity and fast response times for all concurrent user requests. Implemented Role-Based Access Control (RBAC) and data validation layers to secure institutional information, resulting in a 30% decrease in user data-entry errors through better session handling.
Scalable Food Delivery Tracking System
Built a multi-tier AWS environment using VPC, EC2, RDS, and Auto Scaling that handles 1,000+ concurrent users while keeping the public and private network layers securely separated. Created real-time order tracking using S3-backed assets and CloudWatch monitoring, reducing latency to reach a 1.2s response time and supporting 35% more users during peak hours. Secured the cloud infrastructure using IAM roles, S3 encryption (SSE-S3), and RDS security groups, ensuring high data protection while maintaining a consistent 99.9% system uptime.
Education
B.Tech. in Computer Science and Engineering
Lovely Professional University
CGPA: 7.88
Intermediate (PCM)
Decent School
64.2%
Matriculation
Sunbeam School Azamgarh
77.2%